Agent skill · marketing growth · borghei
revenue-operations
Analyzes pipeline coverage, tracks forecast accuracy with MAPE, and calculates GTM efficiency metrics for SaaS revenue optimization
Why this skill is useful
Adds 3 executable scripts for analyzing pipeline health, tracking forecast accuracy, and calculating GTM efficiency that are not commonly found in public documentation.
What it needs
Requires python installed locally. About 8k tokens when loaded. Last updated 2026-07-21. 462 stars on the source repository.
What this skill does
Revenue Operations Pipeline analysis, forecast accuracy tracking, and GTM efficiency measurement for SaaS revenue teams. Table of Contents Quick Start Tools Overview Pipeline Analyzer Forecast Accuracy Tracker GTM Efficiency Calculator Revenue Operations Workflows Weekly Pipeline Review Forecast Accuracy Review GTM Efficiency Audit Quarterly Business Review Reference Documentation Templates --- Clarify First Before running the analysis, confirm these inputs. If any is unknown or vague, ASK — do not assume: [ ] Which analysis — pipeline health, forecast accuracy, or GTM efficiency (selects the script and its input schema) [ ] Quota / target — the number pipeline coverage and Magic Number are measured against [ ] Data export readiness — deals with stage/value/age/close-date, or forecast-vs-actual periods (the tools consume specific JSON; forecast trend needs 3+ periods) [ ] Company stage + sales motion — seed vs growth, PLG vs enterprise (benchmarks vary widely by stage and motion) Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the output. Quick Start --- Tools Overview 1. Pipeline Analyzer Analyzes sales pipeline health including coverage ratios, stage conversion rates, deal velocity, aging risks, and concentration risks. Input: JSON file with deals, quota, and stage configuration Output: Coverage ratios, conversion rates, velocity metrics, aging flags, risk assessment Usage: Key Metrics Calculated: Pipeline Coverage Ratio -- Total pipeline value / quota target (healthy: 3-4x) Stage Conversion Rates -- Stage-to-stage progression rates Sales Velocity -- (Opportunities x Avg Deal Size x Win Rate) / Avg Sales Cycle Deal Aging -- Flags deals exceeding 2x average cycle time per stage Concentration Risk -- Warns when >40% of pipeline is in a single deal Coverage Gap Analysis -- Identifies quarters with insufficient pipeline Input Schema: 2. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills borghei/revenue-operations